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Synthesis AI, a pioneer in synthetic data technology, has released two new products, Synthesis Humans and Synthesis Scenarios, representing the broadest and deepest offering of human-centric synthetic data. A unique combination of generative AI and cinematic CGI pipelines enables the Synthesis platform to programmatically create vast amounts of fully labeled image data at orders of magnitude faster and lower cost than current approaches I can do it.
The new product, which serves as an extension of the company’s data generation platform, aims to make the creation and implementation of synthetic data more seamless than ever, further cementing Synthesis AI’s position as a leader in the synthetic data space. make it a thing
Yashar Behzadi, CEO and founder of Synthesis AI, said: “Synthetic data powered by generative AI is now recognized as a more efficient paradigm for building computer vision AI. It enables the development of AI models.”
Synthesis Humans enables machine learning (ML) practitioners to create more sophisticated, production-scale models, with over 100,000 unique IDs and dozens of human models for emotions, body types, clothing, movements, and more. Provides the ability to change attributes. An intuitive user interface (UI) allows developers to quickly create labeled data, and a comprehensive API supports teams who prefer programmatic access and control.
Synthesis Scenarios is the first product that offers fine-grained control over complex multiplayer simulations across a diverse set of environments for ML model development. Industry-Leading Software, Consumer, Augmented Reality (AR), Virtual Reality (VR), Autonomy, Conferencing, and Metaverse Companies Now Use Synthetic AI Platforms to Build More Robust, High-Performance Models doing. With new capabilities in Synthesis Humans and Synthesis Scenarios, Synthesis AI supports ML model development for a wide range of existing and new applications, including:
- Identification: Synthesis Humans provides diverse data in a fully privacy-compliant manner, relaxing the privacy and regulatory constraints associated with obtaining facial data. This feature enables a more robust and less biased identity verification model for use cases such as smartphones, online banking, and contactless ticketing.
- AR/VR/Metaverse: AR/VR and Metaverse applications rely on photorealistic capture and reproduction of humans in the digital domain. Developing avatars and creating these core ML models requires vast amounts of diverse and labeled data. Synthesis Humans provides richly labeled 3D data across the broadest set of demographics available. Synthesis Scenarios supports the development of multi-person tracking and interaction models.
- Virtual try-on: New virtual try-on technologies are emerging to provide an immersive and personal customer experience. Synthesis Humans provides 100,000 unique IDs, dozens of body types, and millions of clothing combinations, enabling ML engineers to develop robust models of human shapes and poses.
- AI Fitness: Synthesis Humans provides a vast amount of detailed human motion data, including body type, camera positions, environment, and exercise variations, to facilitate the development of new AI fitness applications.
- Driver and Passenger Monitoring: Recent EU regulations have led automakers, suppliers, and AI companies to build computer vision systems to monitor driver conditions and improve safety. Synthetic humans accurately model drivers, key behaviors, and in-vehicle environments to enable cost-effective and efficient development of better models.
- Conference call: As remote work proliferates, employees rely on high-quality video conferencing solutions to stay productive. Leading companies are leveraging synthetic scenarios to train new ML models to improve video quality and the overall conference call experience.
- Pedestrian detection: Safety is paramount to the deployment and adoption of self-driving cars. The detailed multi-human simulations provided by Synthesis Scenarios enable the development of more accurate pedestrian detection and behavior understanding for safe and reliable performance.
- Visual effect: Creating realistic character and facial movements for visual effects requires complex motion capture systems and facial rigs. Synthesis Humans provides a wide variety of video data, including detailed 3D labels, needed to develop core AI models while automating many of the labor-intensive processes such as hand animation, background removal, and effects animation. .
- safety: Synthesis Scenarios enables the simulation of complex multi-person environments such as homes, offices, and outdoor spaces, enabling the development of cost-effective, privacy-compliant access control and security systems.
Florian Leibert of 468 Capital said: “The company’s platform is the first to combine generative AI with a computer graphics pipeline to help customers create photorealistic, diverse and fully labeled training data. The product represents a major breakthrough, enabling computer vision teams to build ML models in more applications and industries in a more cost-effective manner.”
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